This logic is commonly used before determining the euler angles of class sums. Its purpose is to perform a sensitive mass centering of the class sums based on radon transformation. Usage of this algorithm improves common line finding during the consecutive reconstruction process.
Input | Description |
Input | Class sums in real space |
Output | Description |
Output | Mass centered class sums in real space |
New/Changed Header Values | Description |
Error | √(xVariance+ yVariance) of the given class sum, based on before and after the performed shifts, so basically 2D standard deviation. If no shifts have been performed, the error will be 0. |
Theory about the general theory of radon aligning can be found here